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Shifted QR is a widely used algorithm for computing an approximate Schur form of a matrix. I will explain the basic ideas around proving global convergence for a certain variant of this algorithm. The key obstructions to convergence are symmetry in the spectrum and transient behavior due to nonnormality.
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